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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Weve been innovating with AI, ML, and LLMs for years, he says. Other surveys found a similar gap. In a November report by HR consultancy Randstad, based on a survey of 12,000 people and 3 million job profiles, demand for AI skills has increased five-fold between 2023 and 2024. But not every company can say the same.

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AI data readiness: C-suite fantasy, big IT problem

CIO

Nearly nine in 10 business leaders say their organizations data ecosystems are ready to build and deploy AI at scale, according to a recent Capital One AI readiness survey. But 84% of the IT practitioners surveyed, including data scientists, data architects, and data analysts, spend at least one hour a day fixing data problems.

Data 201
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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service.

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Using John Snow Labs’ Medical Large Language Models on Azure Fabric

John Snow Labs

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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IT leaders rethink talent strategies to cope with AI skills crunch

CIO

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. And CIOs are taking on the lion’s share of the quarterbacking,” says Saurajit Kanungo, president of the consulting firm CG Infinity and co-author of Demystifying IT: The Language of IT for the CEO.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. Better user experience.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA was able to use their existing authentication process with AWS Identity and Access Management (IAM) to securely authenticate their application to invoke large language models (LLMs) within Amazon Bedrock. She is passionate about learning languages and is fluent in English, French, and Tagalog.